An ANFIS approach for evaluation of team-level service climate in GSD projects using Taguchi-genetic learning algorithm-Reference-Cited by-同舟云学术

An ANFIS approach for evaluation of team-level service climate in GSD projects using Taguchi-genetic learning algorithm

Published:2015-05 Issue: Volume:30 Page:628-635
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Sangaiah Arun Kumar,Thangavelu Arun Kumar,Gao Xiao Zhi,Anbazhagan N.,Durai M. Saleem

Publisher

Elsevier BV

Subject

Software

Reference27 articles.

1. Exploring the influence of partnership quality factors towards the outcome of global software development projects;Sangaiah;Int. Rev. Comput. Softw.,2012

2. Factors affecting the outcome of Global Software Development projects: an empirical study;Sangaiah,2013

3. An exploration of FMCDM approach for evaluating the outcome/success of GSD projects;Sangaiah;Cent. Eur. J. Eng.,2012

4. Measuring IT service quality in the context of team-level service climate and GSD project outcome relationship;Sangaiah;Aust. J. Basic Appl. Sci.,2013

5. An adaptive neuro-fuzzy approach to evaluation of team-level service climate in GSD projects;Sangaiah;Neural Comput. Appl.,2013

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